Case Study: Black Friday at Scale

The Challenge: A global retailer needs to handle 100,000 orders per minute during Black Friday while maintaining a 1-second page load time for users in the US, Europe, and Asia.

1. The Architecture

We deployed the .NET 8 order service to **AKS clusters** in three regions (East US, West Europe, East Asia). We used **Azure Front Door** to route users to the nearest cluster. All clusters shared a single **Cosmos DB** database with **Multi-Region Writes** enabled.

2. The "Elastic" Result

During the peak hour, the AKS clusters auto-scaled from 20 to 800 pods per region. Cosmos DB RUs automatically scaled from 40k to 1 million. Because the data was physically close to the users (in their local region) and handled by a massively parallel compute fleet, the average API response time stayed under **45ms**.

3. Conclusion

By leveraging the 'Global Fabric' of Azure, we built a system that cost $200 a day normally, but could handle the world's largest shopping event with zero downtime and perfect performance. Architecture is the art of building for the peak while paying for the valley.

AZURE MASTERY COMPLETE.

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